Lead Pricing Analyst - Strategic

Job Title: Lead Pricing Analyst – Strategic
Target Start Date: ASAP
Contract Type: FTC – until June 2026
Salary Range: Circa £70,000
Location: Any UK Ageas office, hybrid

Job Overview

The Strategic Lead Pricing Analyst plays a crucial role in shaping the company’s long‑term market position and profitability through advanced analytics, market research, and strategic recommendations. The role involves leading detailed data analysis, developing predictive models, and providing actionable insights to increase volume, income, and profit. The analyst will also conduct in‑depth market research, enhance risk models, and collaborate across product lines in a dynamic, project‑based environment.

Main Responsibilities

• Predictive Model Development – Lead creation, validation, and review of predictive models, including machine learning, and recommend their use in risk pricing.
• Data Accuracy – Ensure the accuracy and appropriateness of data used for modelling, pricing, and monitoring.
• Data Assessment – Evaluate new internal and external data to enhance risk pricing, build cost‑benefit analyses, and present findings to stakeholders.
• Tender Support – Provide risk pricing support for tender responses alongside Distribution and Underwriting teams.
• Pricing Analysis – Conduct and lead pricing analyses, prepare options for senior stakeholders, and present findings.
• Monitoring Dashboards – Develop and lead creation of monitoring dashboards that meet business needs.
• Project Management – Execute, develop, and manage projects across all stages of the price control cycle.
• Team Influence – Inform and influence peers within the team and across Ageas.
• Strategic Initiatives – Work with underwriting and pricing teams to deliver on strategic initiatives.
• Market Trends – Identify and monitor market trends that impact pricing and underwriting.

Skills and Experience

• Quantitative degree in Statistics, Mathematics, Actuarial Science, or equivalent.
• Relevant experience in a data‑driven environment.
• Knowledge of home insurance products (essential).
• Experience using statistics to explore, validate data, and manipulate large datasets.
• Proficiency in a programming language (SAS, R, Python) and/or actuarial pricing software.
• Experience with predictive modelling techniques such as Logistic Regression, GLMs, GBMs, Elastic Net, GAMs, Decision Trees, Random Forests, SVMs, and Neural Nets.

Benefits

• Competitive salary with annual bonus schemes.
• Competitive pension and employee savings.
• Health benefits: dental, health cash plan, screening, and wellbeing activities.
• Flexible working – part‑time, job share, and remote options.
• Annual leave: minimum 35 days plus bank holidays.
• Distance‑travel cost support, cycle scheme, vehicle breakdown cover.
• Return‑to‑work programme after maternity leave.
• Support for carers and disability – Ageas is a Disability Confident Leader.

Equal Opportunity

Ageas is an equal‑opportunity employer. We encourage applications from a diverse range of candidates. If you require support or adjustments during the recruitment process, let us know. We guarantee an interview for applicants with a disability who meet the minimum criteria for the role.